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Well-Posedness of Stochastic Continuity Equations on Riemannian manifolds

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Chinese Annals of mathematics,Series B 2024年第1期45卷 81-122页

作者： Luca GALImBERTI kenneth H.KARLSEN Department of mathematical Sciences NTNU Norwegian University of Science and TechnologyN-7491 TrondheimNorway Department of mathematics University of OsloP.O.Box 1053BlindernN-0316 OsloNorway

The authors analyze continuity equations with Stratonovich stochasticity,■ρ+divh[ρo(u(t,x)+∑_(i=1)^(N)a_(i)(x)w_(i)(t))]=0defined on a smooth closed Riemannian manifold m with metric h.The velocity field u is perturbed by Gaussian noise terms Wi(t),:WN(t)driven by smooth spatially dependent vector fields a1(x),...,aN(x)on m.The velocity u belongs to L_(t)^(1)W_(x)^(1,2)with divh u bounded in Lf,for p>d+2,where d is the dimension of m(they do not assume div_(h) u∈L_(t,x)^(∞)).For carefully chosen noise vector fields ai(and the number N of them),they show that the initial-value problem is well-posed in the class of weak L^(2) solutions,although the problem can be ill-posed in the deterministic case because of concentration effects.The proof of this“regularization by noise”result is based on a L^(2) estimate,which is obtained by a duality method,and a weak compactness argument.

关键词： Stochastic continuity equation Riemannian manifold Hyperbolic equa-tion Non-smooth velocity field Weak solution Existence Uniqueness

Unequal Distribution of Innovation Efforts for Neglected Tropical Diseases: The Role of Funding Evaluation Criteria

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Health 2024年第5期16卷 490-520页

作者： Anne m. G. Neevel kenneth D. S. Fernald Linda H. m. van de Burgwal Athena Institute Faculty of Science Vrije Universiteit Amsterdam Amsterdam Netherlands

Background: International research and innovation efforts for neglected tropical diseases have increased in recent decades due to disparities in overall health research funding in relation to global burden of disease. However, within the field of neglected tropical diseases some seem far more neglected than others. In this research the aim is to investigate the distribution of resources and efforts, as well as the mechanisms that underpin funding allocation for neglected tropical diseases. methodology: A systematic literature review was conducted to establish a comprehensive overview of known indicators for innovation efforts related to a wide range of neglected tropical diseases. Articles were selected based on a subjective evaluation of their relevance, the presence of original data, and the breadth of their scope. This was followed by thirteen in-depth open-ended interviews with representatives of private, public and philanthropic funding organizations, concerning evaluation criteria for funding research proposals. Results: The findings reveal a large difference in the extent to which the individual diseases are neglected with notable differences between absolute and relative efforts. Criteria used in the evaluation of research proposals relate to potential impact, the probability of success and strategic fit. Private organizations prioritize strategic fit and economic impact;philanthropic organizations prioritize short-term societal impact;and public generally prioritize the probability of success by accounting for follow-up funding and involvement of industry. Funding decisions of different types of organizations are highly interrelated. Conclusions: This study shows that the evaluation of funding proposals introduces and retains unequal funding distribution, reinforcing the relative neglect of diseases. Societal impact is the primary rationale for funding but application of it as a funding criterion is associated with significant challenges. Furthermore, current application of evaluation criteria leads to a

关键词： Neglected Tropical Diseases Funding Decision Evaluation Criteria Health Research Funding Research Impact

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications

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Forest Ecosystems 2024年第1期11卷 24-31页

作者： Goran Ståhl Terje Gobakken Svetlana Saarela Henrik J.Persson magnus Ekstrom Sean P.Healey Zhiqiang Yang Johan Holmgren Eva Lindberg kenneth Nystrom Emanuele Papucci Patrik Ulvdal Hans OleØrka Erik Næsset Zhengyang Hou Håkan Olsson Ronald E.mcRoberts Department of Forest Resource management Swedish University of Agricultural Sciences90183UmeåSweden Faculty of Environmental Sciences and Natural Resource management Norwegian University of Life SciencesÅsNorway USDA Forest Service Rocky Mountain Research StationOgdenUTUSA The Key Laboratory for Silviculture and Conservation of ministry of Education Beijing Forestry UniversityBeijing100083China Department of Forest Resources University of MinnesotaSt.PaulMNUSA

Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics,and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decisionmaking.However,wall-to-wall information typically relies on model-based prediction,and several features of model-based prediction should be understood before extensively relying on this type of information.One such feature is that model-based predictors can be considered both unbiased and biased at the same time,which has important implications in several areas of application.In this discussion paper,we first describe the conventional model-unbiasedness paradigm that underpins most prediction techniques using remotely sensed(or other)auxiliary data.From this point of view,model-based predictors are typically unbiased.Secondly,we show that for specific domains,identified based on their true values,the same model-based predictors can be considered biased,and sometimes severely so.We suggest distinguishing between conventional model-bias,defined in the statistical literature as the difference between the expected value of a predictor and the expected value of the quantity being predicted,and design-bias of model-based estimators,defined as the difference between the expected value of a model-based estimator and the true value of the quantity being predicted.We show that model-based estimators(or predictors)are typically design-biased,and that there is a trend in the design-bias from overestimating small true values to underestimating large true values.Further,we give examples of applications where this is important to acknowledge and to potentially make adjustments to correct for the design-bias trend.We argue that relying entirely on conventional model-unbiasedness may lead to mistakes in several areas of application that use predictions from remotely sensed data.

关键词： Bias model-based inference Design-based inference

Global wild rice germplasm resources conservation alliance:World Wild-Rice Wiring

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molecular Plant 2024年第4期17卷 516-518页

作者： Xiaoming Zheng Disna Ratnasekera Jiayu Fan Robert J.Henry Beng-Kah Song kenneth m.Olsen Bal Krishna Joshi maria Celeste N.Banaticla-Hilario Tonapha Pusadee Adane Getachew melaku Yeyinou Laura Estelle Loko Koukham Vilayheuang Gavers K.Oppong Samuel Aduse Poku Peterson W.Wambugu Song Ge Aldo merotto Junior Ohn mar Aung Ramaiah Venuprasad Ajay Kohli Wenbin Zhou Qian Qian National Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Sanya National Research Institute of Breeding in Hainan Chinese Academy of Agricultural SciencesBeijing 100081China International Rice Research Institute DAPO Box 7777Metro Manila 4031Philippines Department of Agricultural Biology Faculty of AgricultureUniversity of RuhunaMatara 81000Sri Lanka Yazhouwan National Laboratory No.8 Huanjin RoadYazhou DistrictSanya CityHainan Province 572024China Hainan University Haikou 570228China ARC Centre of Excellence for Plant Success in Nature and Agriculture University of QueenslandBrisbaneQLD4072Australia School of Science Monash University Malaysia47500 Bandar SunwaySelangor 47500Malaysia Department of Biology Washington University in St.LouisSt.LouisMO 63130-4899USA National Agriculture Genetic Resources Center(Genebank) KhumaltarPO Box 3055KathmanduNepal Plant Biology Division Insttute of Biological SciencesUniversity of the Pilippines Los BanosLos BanosLaguna 4031Philippines Division of Agronomy Department of Plant and Soil SciencesFaculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Bio and Emerging Technology Institute Addis Ababa 1165Ethiopia National University of Sciences TechnologiesEngineering and Mathematics(UNSTIM)Dassa-ZouméBP 14Benin National Genebank Rice and Cash Crops Research CenterNAFRIVientiane 0605Lao PDR Plant Sciences and the Bioeconomy Rothamsted ResearchHarpenden AL52JQUK UK Future Food Beacon of Excellence and School of Biosciences and University of Nottingham Nottingham LE125RDUK Department of Plant and Environmental Biology University of GhanaAccraGhana Kenya Agricultural and Livestock Research Organization Genetic Resources Research InstituteNairobi 00200Kenya Institute of Botany Chinese Academy of SciencesBeijing 100093China Federal University of Rio Grande do Sul UFRGSPorto Alegre 91501-970RSBrazil Department of Agricultur

Wild relatives of crop are key genetic resources serving as diversity reservoirs for crop improvement under changing environments.Rice(Oryza sativa)is one of the most important crops in the world,providing staple food for half of the world's population.Wild rice is thus a critical germplasm resource for sustained global food security,ensuring high production yields,improved quality,and stress resistance in the face of climate change.Wild rice is closely related to domesticated rice and has a rich genetic diversity and exceptional adaptability to extreme environments.It has played a pivotal role in the history of rice hybridization and has become a key resource for rice breeding programs.The identification of wild-type cytoplasmic male sterility resources paved the way for the achievement of the“three lines”goal in hybrid rice,leading to a significant increase in rice yields.In addition,the use of resistance alleles found in wild rice is making rice production more resilient to losses caused by environmental stresses.However,wild rice germplasm resources are threatened due to habitat destruction and other anthropogenic factors.At the same time,the lack of centralized distribution of wild rice has hampered the sharing of basic information on wild rice resources and the utilization and conservation of wild rice in each country,as well as collaboration among scientists.

关键词： germplasm breeding crops

Dendritic cells in cancer immunology

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Cellular & molecular Immunology 2022年第1期19卷 3-13页

作者： Theresa L.murphy kenneth m.murphy Department of Pathology and Immunology Washington University in St.LouisSchool of MedicineSt.LouisMO 63110USA

The clinical success of immune checkpoint therapy(ICT)has produced explosive growth in tumor immunology research because ICT was discovered through basic studies of immune regulation.much of the current translational efforts are aimed at enhancing ICT by identifying therapeutic targets that synergize with CTLA4 or PD1/PD-L1 blockade and are solidly developed on the basis of currently accepted principles.Expanding these principles through continuous basic research may help broaden translational efforts.With this mindset,we focused this review on three threads of basic research directly relating to mechanisms underlying ICT.Specifically,this review covers three aspects of dendritic cell(DC)biology connected with antitumor immune responses but are not specifically oriented toward therapeutic use.First,we review recent advances in the development of the cDC1 subset of DCs,identifying important features distinguishing these cells from other types of DCs.Second,we review the antigen-processing pathway called cross-presentation,which was discovered in the mid-1970s and remains an enigma.This pathway serves an essential in vivo function unique to cDC1s and may be both a physiologic bottleneck and therapeutic target.Finally,we review the longstanding field of helper cells and the related area of DC licensing,in which CD4 T cells influence the strength or quality of CD8 T cell responses.Each topic is connected with ICT in some manner but is also a fundamental aspect of cell-mediated immunity directed toward intracellular pathogens.

关键词： Dendritic cells transcription factors cross-presentation tumor rejection CD4 help

Is tumor cell specificity distinct from tumor selectivity in vivo?A quantitative NIR molecular imaging analysis of nanoliposome targeting

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Nano Research 2021年第5期14卷 1344-1354页

作者： Girgis Obaid Kimberley Samkoe kenneth tichauer Shazia Bano Yeonjae Park Zachary Silber Sassan Hodge Susan Callaghan mina Guirguis Srivalleesha mallidi Brian Pogue Tayyaba Hasan Wellman Center for Photomedicine Massachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA Department of Bioengineering University of Texas at DallasRichardsonTX75080USA Thayer School of Engineering Dartmouth CollegeHanoverNH037551USA Armour College of Engineering Illinois Institute of TechnologyChicagoIL60616USA Division of Health Sciences and Technology Harvard University and Massachusetts Institute of TechnologyCambridgeMA02139USA

The significance and ability for receptor targeted nanoliposomes(tNLs)to bind to their molecular targets in solid tumors in vivo has been questioned,particularly as the efficiency of their tumor accumulation and selectivity is not always predictive of their efficacy or molecular specificity.This study presents,for the first time,in situ near-infrared(NIR)molecular imaging-based quantitation of the in vivo specificity of tNLs for their target receptors,as opposed to tumor selectivity,which includes influences of enhanced tumor permeability and retention.Results show that neither tumor delivery nor selectivity(tumor-to-normal ratio)of cetuximab and IRDye conjugated tNLs correlate with epidermal growth factor receptor(EGFR)expression in U251,U87,and 9L tumors,and in fact underrepresent their imaging-derived molecular specificity by up to 94.2%.Conversely,their in vivo specificity,which we quantify as the concentration of tNL-reported tumor EGFR provided by NIR molecular imaging,correlates positively with EGFR expression levels in vitro and ex vivo(Pearson’s r=0.92 and 0.96,respectively).This study provides a unique opportunity to address the problematic disconnect between tNL synthesis and in vivo specificity.The findings encourage their continued adoption as platforms for precision medicine,and facilitates intelligent synthesis and patient customization in order to improve safety profiles and therapeutic outcomes.

关键词： molecular recognition receptors nanoparticles specificity cancer

Kidney disease in patients with chronic liver disease:Does sex matter?

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World Journal of Clinical Cases 2023年第17期11卷 3980-3992页

作者： Katherine m Cooper Alessandro Colletta Kristen moulton kenneth m Ralto Deepika Devuni Department of medicine UMass Chan Medical SchoolWorcesterMA 01665United States Department of medicine Division of GastroenterologyUMass Chan Medical SchoolWorcesterMA 01665United States Department of medicine Division of Renal MedicineUMass Chan Medical SchoolWorcesterMA 01665United States

Kidney disease in patients with liver disease is serious and increases mortality.Up to 50%of patients hospitalized experience an episode of acute kidney injury.In general,men with liver disease are thought to be at increased risk of kidney disease.However,this association should be considered with caution because most studies use creatinine-based inclusion criteria,which is negatively biased against women.In this review,we synthesize data on sex differences in kidney disease in patients with chronic liver disease in the clinical setting and discuss potential physiologic underpinnings.

关键词： Sex differences Renal disease Gender disparity Hepatorenal syndrome Renal replacement therapy

Droplet-based bioprinting enables the fabrication of cell–hydrogel–microfibre composite tissue precursors

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Bio-Design and manufacturing 2022年第3期5卷 512-528页

作者： marcin Kotlarz Ana m.Ferreira Piergiorgio Gentile Stephen J.Russell kenneth Dalgarno School of Engineering Newcastle UniversityNewcastle upon Tyne NE17RUUK School of Design University of LeedsLeeds LS29JTUK

Composites offer the option of coupling the individual benefits of their constituents to achieve unique material properties,which can be of extra value in many tissue engineering applications.Strategies combining hydrogelswith fibre-based scaffolds can create tissue constructs with enhanced biological and structural functionality.However,developing efficient and scalable approaches to manufacture such composites is challenging.Here,we use a droplet-based bioprinting system called reactive jet impingement(ReJI)to integrate a cell-laden hydrogel with a microfibrous mesh.This system uses microvalves connected to different bioink reservoirs and directed to continuously jet bioink droplets at one another in mid-air,where the droplets react and form a hydrogel that lands on a microfibrous mesh.Cell–hydrogel–fibre composites are produced by embedding human dermal fibroblasts at two different concentrations(5×10^(6) and 30×10^(6) cells/mL)in a collagen–alginate–fibrin hydrogel matrix and bioprinted onto a fibre-based substrate.Our results show that both types of cell–hydrogel–microfibre composite maintain high cell viability and promote cell–cell and cell–biomaterial interactions.The lower fibroblast density triggers cell proliferation,whereas the higher fibroblast density facilitates faster cellular organisation and infiltration into the microfibres.Additionally,the fibrous component of the composite is characterised by high swelling properties and the quick release of calcium ions.The data indicate that the created composite constructs offer an efficient way to create highly functional tissue precursors for laminar tissue engineering,particularly for wound healing and skin tissue engineering applications.

关键词： Bioprinting Hydrogel–fibre composites High-cell-density hydrogels Composite manufacturing

Weedy rice, a hidden gold mine in the paddy field

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molecular Plant 2022年第4期15卷 566-568页

作者： Dongya Wu Jie Qiu Jian Sun Beng-Kah Song kenneth m.Olsen Longjiang Fan Zhejiang University City College Hangzhou 310015China College of Agriculture and Biotechnology Zhejiang UniversityHangzhou 310058China Shanghai Key Laboratory of Plant molecular Sciences College of Life SciencesShanghai Normal UniversityShanghai 200234China Rice Research Institute Shenyang Agricultural UniversityShenyang 110866China School of Science Monash University MalaysiaBandar SunwaySelangor 46150Malaysia Department of Biology Washington University in St.LouisSt.LouisMO 63130USA

Weedy rice(Oryza spp.)is an increasingly invasive paddy weed,which mimics cultivated rice at the seedling stage but is distinguished from cultivated rice with strong seed shattering and seed dormancy,which are typical phenotypic characteristics of wild rice.On the origins of this conspecific form of cultivated rice(Oryza sativa),four hypotheses have been proposed and debated for decades:(1)origination from wild rice(Oryza rufipogon or possibly other wild Oryza species);(2)origination following hybridization between wild and cultivated rice;(3)direct descent from escaped cultivated rice;and(4)intervarietal hybridization between different domesticated rice varieties(Ellstrand et al.,2010).Recent population genomic investigations based on whole-genome variation provide powerful phylogenetic and demographic evidence for the de-domestication origination of weedy rice(Li et al.,2017;Qiu et al.,2017,Qiu et al.,2020;Sun et al.,2019).

关键词： sativa (Oryza spp.)